Available to hire
Hi, I’m Sai Anusha Puvvala, a data engineer passionate about turning data into actionable insights. I have 4+ years of experience in data analysis, ETL pipelines, and business intelligence, with strong skills in SQL, Python, Tableau, and cloud technologies like AWS and Databricks.
I enjoy optimizing workflows, designing impactful dashboards, and driving operational efficiency through collaboration and robust data governance that aligns with business objectives.
Skills
Language
English
Fluent
Work Experience
Data Engineer Intern at Dream IT
February 1, 2022 - November 28, 2025Created and optimized SQL queries for database manipulation and data extraction, ensuring efficient data retrieval and processing to support analytical tasks and business initiatives. Developed Python scripts for automation of provisioning, deployment, upgrading, and scaling; built ETLs to extract data from various operational systems. Applied advanced statistical techniques to identify trends and anomalies, collected and integrated data from multiple sources (internal databases, external providers, APIs) to create comprehensive datasets, and designed cloud-based solutions to ensure scalability and efficiency. Collaborated with cross-functional teams to understand data requirements across departments and conducted A/B tests to measure impact of changes.
Data Analyst at Accenture
December 1, 2021 - December 1, 2021Designed and optimized PostgreSQL database structures with indexing and query optimization. Developed and optimized ETL pipelines for data ingestion using AWS Redshift and Glue, automating processes and reducing manual tasks by 40%. Analyzed large datasets from 50+ sources using Python and SQL, created dynamic dashboards in Tableau and Excel, and implemented robust data warehousing solutions with enhanced metadata management and data models. Applied data mining and cleansing techniques across 20+ projects and collaborated in Agile (Scrum) environments to deliver data-driven solutions. Built scalable cloud solutions leveraging AWS services (EC2, Lambda, RDS) and utilized Git for version control; performed statistical analysis with Seaborn to support business strategies.
Data Scientist at Genpact
December 1, 2019 - December 1, 2019Converted raw data for analysis using Python libraries (Pandas, NumPy, Scikit-learn). Collaborated with data engineering to optimize data acquisition and ensure timely extraction from multiple sources. Applied OpenCV and PyTorch for brain scan plaque detection, contributing to research in Alzheimer's disease. Used boosting techniques to improve model efficiency and designed end-to-end data analytics and automation systems with visualization in Tableau and Power BI. Participated in Agile/Lean processes, performed NLP tasks (NER, intent extraction), and trained RNN/LSTM models for chatbot applications. Wrote and optimized SQL queries for Oracle, achieving a 35% reduction in processing time through indexing methods.
Data Engineer at Dream IT
August 1, 2023 - PresentDatabase optimization and advanced data analytics. Built 15+ SSIS ETL pipelines reducing data processing time by 35% and accelerating cross-department insights. Improved SQL and Python queries by 40%, enhancing performance of BI dashboards used by 50+ users for real-time insights. Automated system provisioning, deployment, and scaling with Python, and developed ETLs to extract data from diverse operational systems. Developed and optimized SQL queries for efficient data extraction and processing to support analytics and business initiatives.
Data Analyst at Accenture
February 1, 2020 - December 1, 2021Improved PostgreSQL performance by 45% optimizing database structures, indexing, and queries for faster data retrieval. Analyzed datasets from 50+ sources using Python and SQL, delivering insights to boost 20% operational efficiency. Developed Tableau and Excel dashboards to translate complex data into actionable insights, enhancing stakeholder decision-making. Designed data warehousing solutions by integrating RDBMS and NoSQL platforms, optimizing models and metadata for performance.
Education
Master of Science in Information Systems and Technologies at University of North Texas
January 1, 2022 - August 1, 2023Master of Science in Information Systems and Technologies at University of North Texas
January 11, 2030 - August 1, 2023Bachelor of Technology in Computer Science and Engineering at JNTUH
January 11, 2030 - June 1, 2019Qualifications
Google Data Analytics
January 11, 2030 - November 28, 2025Amazon Cloud Certified Practitioner
January 11, 2030 - November 28, 2025Tableau Desktop Certified Specialist
January 11, 2030 - November 28, 2025PCEP Certified Python Programmer
January 11, 2030 - November 28, 2025Databricks Certified Associate Developer for Apache Spark 3.0
January 11, 2030 - November 28, 2025Astronomer Certification for Apache Airflow
January 11, 2030 - November 28, 2025Excel - Advanced Formulas and Functions
January 11, 2030 - November 28, 2025SQL HackerRank Advanced Certification
January 11, 2030 - November 28, 2025Certified Scrum Master - Scrum Alliance
January 11, 2030 - November 28, 2025Amazon Cloud Certified Practitioner
January 11, 2030 - December 29, 2025Tableau Desktop Certified Specialist
January 11, 2030 - December 29, 2025PCEP Certified Python Programmer
January 11, 2030 - December 29, 2025Databricks Certified Associate Developer for Apache Spark 3.0
January 11, 2030 - December 29, 2025Astronomer Certification for Apache Airflow
January 11, 2030 - December 29, 2025Excel - Advanced Formulas and Functions
January 11, 2030 - December 29, 2025SQL Hacker rank Advanced Certification
January 11, 2030 - December 29, 2025Certified Scrum Master - Scrum Alliance
January 11, 2030 - December 29, 2025Industry Experience
Software & Internet, Professional Services, Education
Skills
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